Technometrics
Filtering and brushing with motion
Information Visualization
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Animated visualization of causal relations through growing 2D geometry
Information Visualization - Special issue: Software visualization
Top 10 Unsolved Information Visualization Problems
IEEE Computer Graphics and Applications
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Visualizing Causal Semantics Using Animations
IEEE Transactions on Visualization and Computer Graphics
Perceiving complex causation through interaction
Proceedings of the Symposium on Computational Aesthetics
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Most approaches to representing causality, such as the common causal graph, require a separate and static view, but in many cases it is useful to add the dimension of causality to the context of an existing visualization. Building on research from perceptual psychology that shows the perception of causality is a low-level visual event derived from certain types of motion, we are investigating how to add animated causal representations, called visual causal vectors, onto other visualizations. We refer to these as causal overlays. Our initial experimental results show this approach has great potential but that extra cues are needed to elicit the perception of causality when the motions are overlaid on other graphical objects. In this paper we describe the approach and report on a study that examined two issues of this technique: how to accurately convey the causal flow and how to represent the strength of the causal effect.